At eBay, we're more than a global ecommerce leader — we’re changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. We’re committed to pushing boundaries and leaving our mark as we reinvent the future of ecommerce for enthusiasts.

Our customers are our compass, authenticity thrives, bold ideas are welcome, and everyone can bring their unique selves to work — every day. We're in this together, sustaining the future of our customers, our company, and our planet.

Join a team of passionate thinkers, innovators, and dreamers — and help us connect people and build communities to create economic opportunity for all.

Join the group at eBay passionate about Customer Support Technology to compose, build, and evolve the intelligent platform systems that power our global customer support ecosystem. As a Software Engineer 3, you will lead initiatives across DevOps, Site Reliability Engineering (SRE), release engineering, integration of quality engineering automation to improve platform reliability, deployment safety, engineering efficiency, and operational scalability.

This is a hands-on engineering role focused on building scalable automation frameworks, CI/CD platforms, intelligent operational tooling, observability systems, and automated QE integration testing solutions. You will work across teams to drive operational excellence, reduce manual effort, improve release quality, and enable reliable service operations at scale.

What You’ll Do

• Design, build, and enhance scalable CI/CD, build, deployment, and release engineering systems

• Build and sustain QE integration automation test systems supporting release quality and platform reliability

• Build automated validation frameworks incorporated within CI/CD pipelines for functional, integration, regression, and reliability testing

• Develop and maintain AI/AE-powered operational automation systems to improve engineering productivity and operational efficiency

• Build intelligent automation solutions for monitoring, alerting, diagnostics, remediation, and release validation

• Improve deployment safety through automated quality gates, release verification, and observability-driven automation

• Lead troubleshooting, root-cause analysis, and resolution of complex production incidents

• Develop self-service platform tooling and automation frameworks for engineering teams

• Improve platform health through proactive monitoring, telemetry, SLOs, SLIs, and operational metrics

• Collaborate with QE, platform, infrastructure, and application engineering teams to improve release confidence and system resiliency

• Contribute to architectural decisions for cloud-native platform systems and operational tooling

• Mentor junior engineers and help promote technical and functional excellence across teams

• Participate in on-call rotations and incident response leadership as needed

Must-Have Qualifications

• BS/MS in Computer Science, Engineering, or related field (or equivalent practical experience)

• 4–7 years of experience in software engineering, DevOps, SRE, platform engineering, or related areas

• Strong programming and scripting skills in Java, Python, Go, or similar languages

• Strong experience with:

  • CI/CD systems and release automation

  • Distributed systems and cloud-native architectures

  • Production operations and reliability engineering

• Experience building automation frameworks and operational tooling

• Experience developing or maintaining automated testing frameworks and QE integration systems

• Strong understanding of integration testing, regression automation, and release validation strategies

• Experience integrating automated testing into CI/CD and deployment workflows

• Strong understanding of observability concepts including metrics, logging, tracing, and alerting

• Experience debugging complex distributed production environments

Additionally

• Experience building backend services and APIs supporting deployment, automation, or operational systems

• Ability to design scalable automation solutions with minimal operational overhead

• Experience collaborating across engineering organizations to improve developer productivity and operational efficiency

• Understanding of reliability concepts such as SLOs, SLIs, error budgets, incident response, and operational excellence

• Ability to balance system reliability, release velocity, and quality engineering objectives

Nice-to-Have

• Experience with Kubernetes, Docker, and container orchestration technologies

• Familiarity with infrastructure-as-code and configuration management tools

• Experience with cloud platforms such as AWS, GCP, or Azure

• Experience with AI-assisted developer tooling, intelligent automation systems, or agentic workflow platforms

• Familiarity with observability tools including Splunk, Grafana, Prometheus, and OpenTelemetry

• Experience with QE automation frameworks and continuous testing platforms

• Exposure to AIOps, predictive monitoring, or self-healing infrastructure systems

• Experience driving platform modernization and engineering productivity initiatives

What Success Looks Like

• Improves platform reliability, scalability, and deployment safety

• Builds automation systems that significantly reduce operational toil and manual validation effort

• Improves release quality and engineering productivity through scalable QE integration automation systems

• Develops effective AI-enabled engineering and operational automation solutions

• Leads resolution and prevention of complex production issues

• Enables faster, safer, and more reliable software releases through intelligent automation and quality gates

• Demonstrates strong ownership, technical leadership, and cross-team collaboration

• Mentors engineers and contributes to a strong culture of operational and engineering excellence

Team & Impact

You’ll be part of eBay’s Customer Support Technology team responsible for enabling reliable, scalable, and intelligent service operations across customer support platforms. Your work will directly improve platform resiliency, release velocity, operational automation, quality engineering integration, and developer productivity through advanced DevOps, SRE, AI-driven engineering systems, and QE automation frameworks.

Here at eBay, we love creating opportunities for others by connecting people from widely diverse backgrounds, perspectives, and geographies. So, being diverse and inclusive isn’t just something we strive for, it is who we are, and part of what we do each and every single day. We want to ensure that as an employee, you feel eBay is a place where, no matter who you are, you feel safe, included, and that you have the opportunity to bring your unique self to work. To learn about eBay’s Diversity & Inclusion click here: https://www.ebayinc.com/our-company/diversity-inclusion/.

Additional Details

eBay is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. If you have a need that requires accommodation, please contact us at [email protected]. We will make every effort to respond to your request for accommodation as soon as possible. View our accessibility statement to learn more about eBay's commitment to ensuring digital accessibility for people with disabilities.

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